Improved multiple feedback successive interference cancellation algorithms for near-optimal MIMO detection

Manish Mandloi; Mohammed Azahar Hussain; Vimal Bhatia

Improved multiple feedback successive interference cancellation algorithms for near-optimal MIMO detection

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Author(s): Manish Mandloi ¹ ; Mohammed Azahar Hussain ¹ ; Vimal Bhatia ¹
- Affiliations: 1: Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore 452020, India
Source: Volume 11, Issue 1, 05 January 2017, p. 150 – 159
DOI: 10.1049/iet-com.2016.0333 , Print ISSN 1751-8628, Online ISSN 1751-8636

Received 17/03/2016, Accepted 23/09/2016, Revised 20/09/2016, Published 05/01/2017

In this study, the authors propose an improved multiple feedback successive interference cancellation (IMF-SIC) algorithm and an ordered IMF-SIC (OIMF- SIC) algorithm for near-optimal multiple-input multiple-output (MIMO) detection. In particular, the multiple feedback (MF) strategy in successive interference cancellation (SIC) detector is based on the concept of shadow region, where, if a decision falls in the shadow region, then multiple neighbouring constellation points are used in the decision feedback loop followed by the SIC technique, and the best candidate symbol is selected by using maximum likelihood cost. However, while deciding the best symbol, the shadow condition is not checked in the subsequent layers which may result in an unreliable decision. Thus, to improve the accuracy of a decision, the authors propose an improved MF strategy where the shadow region condition is checked recursively. Further, the authors also propose an OIMF-SIC algorithm where the log likelihood ratio based dynamic ordering is utilised for ordering the detection sequence. Simulation results validate superiority of the proposed algorithms over the other SIC based detection techniques. In addition, to validate robustness of the proposed algorithms, BER performance is computed and compared under channel state information mismatch.

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